A Non-Invasive Diagnostic Platform for Canine Leishmaniasis Using VOC Analysis and Distributed Veterinary Infrastructure
This article describes a new software architecture for the non-invasive detection of canine leishmaniasis disease. The proposed platform combines gas-sensing technologies, artificial intelligence (AI), and modular cloud-based software components to identify disease-specific volatile organic compounds (VOCs) found in dog breath and hair samples. The system, which has a multi-tier architecture that includes data collection, pre-processing, machine learning-based analysis, diagnosis-request processing, and user interfaces for veterinarians, faculty researchers, and dog owners, has been integrated into a Li-ion Power website plug-in. The primary goal of implementing the proposed platform is to detect parasites at any point they are infectious to a host. This includes detecting parasites at all stages of their life cycle, where they can infect a new host. In addition, this is crucial for accurate diagnosis, effective treatment, and preventing further transmission.
Authors
- Dhafer Laouini (ORCID: https://orcid.org/0000-0003-1222-4880)
- Violeta Elena Simion (ORCID: https://orcid.org/0000-0001-6034-601X)
- Fayçal Zeroual (ORCID: https://orcid.org/0000-0003-3332-5701)
- Mohamed Fethi Diouani (ORCID: https://orcid.org/0000-0001-5192-2927)
- Benachir Bouchikhi (ORCID: https://orcid.org/0000-0002-9403-0846)
- Marius Iulian Mihăilescu (ORCID: https://orcid.org/0000-0001-9655-9666)
- Aylen Lisset Jaimes‐Mogollón (ORCID: https://orcid.org/0000-0001-9936-2738)
- Valentina Mărăscu (ORCID: https://orcid.org/0000-0002-5170-1398)
- Carlos Alberto Cuastumal Vásquez (ORCID: https://orcid.org/0000-0001-8996-5666)
- Cristhian Manuel Durán Acevedo (ORCID: https://orcid.org/0000-0002-5241-2950)
- Adam Borhan Eddine Bessou (ORCID: https://orcid.org/0009-0001-8931-2435)
- Nazim Messaoudi (ORCID: https://orcid.org/0009-0007-6560-8657)
- Nezha El Bari
- Alexandra Ursachi
- Varanya Somaudon
- Laura-Madalina Lixandru
- Xavier Llauradó
Institutions
- Spiru Haret University (RO)
- Estonian University of Life Sciences (EE)
- National Institute for Laser Plasma and Radiation Physics (RO)
- Department of Medical Sciences (TH)
- Institut Pasteur de Tunis (TN)
- Université Moulay Ismail de Meknes (MA)
- Centre Hospitalo-Universitaire Bab El Oued (DZ)
- Instituto Superior da Maia (PT)
- Fusion for Energy (ES)
- University of Pamplona (CO)
Publication Details
- Journal
- Veterinary Sciences
- Published
- 2025-08-04
- DOI
- https://doi.org/10.3390/vetsci12080732
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00